Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention. - Sharmistha Jat; Siddhesh Khandelwal; Partha P. Talukdar (AKBC@NIPS, 2017)

Faster K-Means Cluster Estimation. - Siddhesh Khandelwal; Amit Awekar (ECIR, 2017)

AttentionRNN: A Structured Spatial Attention Mechanism. - Siddhesh Khandelwal; Leonid Sigal (ICCV, 2019)

Weakly-supervised Any-shot Object Detection. - Siddhesh Khandelwal; Raghav Goyal; Leonid Sigal (CoRR, 2020)

What-If Motion Prediction for Autonomous Driving. - Siddhesh Khandelwal; William Qi; Jagjeet Singh; Andrew Hartnett; Deva Ramanan (CoRR, 2020)

UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation. - Siddhesh Khandelwal; Raghav Goyal; Leonid Sigal (CVPR, 2021)

Segmentation-grounded Scene Graph Generation. - Siddhesh Khandelwal; Mohammed Suhail; Leonid Sigal (ICCV, 2021)

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting. - Benjamin Wilson; William Qi; Tanmay Agarwal; John Lambert; Jagjeet Singh; Siddhesh Khandelwal; Bowen Pan; Ratnesh Kumar; Andrew Hartnett; Jhony Kaesemodel Pontes; Deva Ramanan; Peter Carr 001; et al. (NeurIPS Datasets and Benchmarks, 2021)

Iterative Scene Graph Generation. - Siddhesh Khandelwal; Leonid Sigal (NeurIPS, 2022)

Frustratingly Simple but Effective Zero-shot Detection and Segmentation: Analysis and a Strong Baseline. - Siddhesh Khandelwal; Anirudth Nambirajan; Behjat Siddiquie; Jayan Eledath; Leonid Sigal (CoRR, 2023)

Plug-and-Play, Dense-Label-Free Extraction of Open-Vocabulary Semantic Segmentation from Vision-Language Models. - Jiayun Luo; Siddhesh Khandelwal; Leonid Sigal; Boyang Li 001 (CoRR, 2023)

Emergent Open-Vocabulary Semantic Segmentation from Off-the-Shelf Vision-Language Models. - Jiayun Luo; Siddhesh Khandelwal; Leonid Sigal; Boyang Li 001 (CVPR, 2024)